I’ve been mostly a poetry guy but have tested out uv a bit lately. Two main advantages I see are being able to install Python (I relied on pyenv before) and it’s waaay faster at solving/installing dependencies.

In VS code these should work through the Remote-Containers flow, just like they do through Remote-SSH.

Hmm, I just re-read the blog post and GitHub where I thought I read that and I think I was mistaken…

Poetry support is on their roadmap!

Ansible is so simple yet so elegant.

It’s not a dealbreaker for me but I feel your pain. Getting everything organized in Gitlab is a pleasure.

Righteous!

Any chance you could give an example of the kind of tooling you’re referring to?

This is not a subscription but a perpetual license and for my needs it’s already well worth the price they are asking. Using this actively with my wife but also sharing albums with about 8 other family members.

I find the no-subscription model very attractive and I’m open minded to companies trying out new software licensing approaches. I like the idea of the developers getting paid for their good work and being able to do it full time.

This just means that this project is still too early in development for you. The breaking changes happening in this phase are going to pay off in the long run and prevent the project from getting bogged down.

I would give it another shot when they release v2

I read it as sarcasm

I personally also put Pydantic on the S tier.

Also, I use (geo)pandas on a regular basis and when it comes to geometric operations Shapely is an amazing library.

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Did you ever find the missing packets?

You could package it and install with pipx

I’ve had a particularly difficult time with CUDA/Pytorch in WSL. Also with Windows not reclaiming memory…

But don’t get me wrong, WSL has helped a lot when I’ve needed to use Windows at work.

In my experience:

• No lockfile, and using the third party conda-lock is clunky
• Painfully slow solver, although the libmamba solver came to the rescue
• Conda-forge can lag behind pypi by weeks, depending on the package

Interesting, but if I have to use Windows then I would consider Conda depending on my dependency situation.

I don’t particularly like Conda, or Windows, but what I like even less is manually finding wheels for my project. For something like GDAL, I wouldn’t even try on Windows without Conda. I think it’s also easy for a beginner to get up and running with this setup.

My preferred setup is pyenv on Linux with poetry :)

If the open source release is adequate then you can just continue using it… Or fork for your needs.

I like to require access to 22 via IP whitelist and all services on SSL behind a reverse proxy. Doesn’t leave much surface to attack.